Crates.io | leptos_query |
lib.rs | leptos_query |
version | 0.5.3 |
source | src |
created_at | 2023-07-19 18:25:38.224658 |
updated_at | 2024-03-09 17:06:19.027692 |
description | Async query manager for Leptos |
homepage | |
repository | https://github.com/nicoburniske/leptos_query |
max_upload_size | |
id | 920623 |
size | 135,580 |
Leptos Query is a async state management library for Leptos.
Heavily inspired by Tanstack Query.
Queries are useful for data fetching, caching, and synchronization with server state.
A Query provides:
Caching
Request de-duplication
Invalidation
Background refetching
Refetch intervals
Memory management with cache lifetimes
Cancellation
Debugging tools
Optimistic updates
Client side cache persistance (localstorage, indexdb, custom, etc.)
create_query
- Recommended: Creates a [QueryScope
] which encapsulates use_query
and other methods for managing queries.use_query
][crate::use_query::use_query()] - A query primitive for reading, caching, and refetching data.csr
Client-side rendering: Use queries on the client.ssr
Server-side rendering: Initiate queries on the server.hydrate
Hydration: Ensure that queries are hydrated on the client, when using server-side rendering.local_storage
- Enables local storage persistance for queries.index_db
- Enables index db persistance for queries.The table below shows the compatible versions of leptos_query
for each leptos
version. Ensure you are using compatible versions to avoid potential issues.
leptos version |
leptos_query version |
---|---|
0.6.* | 0.5.* or 0.4.* |
0.5.* | 0.3.* |
cargo add leptos_query
Then add the relevant feature(s) to your Cargo.toml
[features]
hydrate = [
"leptos_query/hydrate",
# ...
]
ssr = [
"leptos_query/ssr",
# ...
]
If you are using SSR you may have to use
supress_query_load
in your server's main function. See the FAQ for more information.
In the root of your App, provide a query client with [provide_query_client] or [provide_query_client_with_options] if you want to override the default options.
use leptos_query::*;
use leptos::*;
#[component]
pub fn App() -> impl IntoView {
// Provides Query Client for entire app.
provide_query_client();
// Rest of App...
}
Then make a query function with [create_query
][crate::create_query::create_query()]
use leptos::*;
use leptos_query::*;
// Query for a track.
fn track_query() -> QueryScope<TrackId, TrackData> {
create_query(
get_track,
QueryOptions::default(),
)
}
// Make a key type.
#[derive(Debug, Clone, Hash, Eq, PartialEq)]
struct TrackId(i32);
// The result of the query fetcher.
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
struct TrackData {
name: String,
}
// Query fetcher.
async fn get_track(id: TrackId) -> TrackData {
todo!()
}
Now you can use the query in any component in your app.
use leptos::*;
use leptos_query::*;
#[component]
fn TrackView(id: TrackId) -> impl IntoView {
let QueryResult {
data,
..
} = track_query().use_query(move|| id.clone());
view! {
<div>
// Query data should be read inside a Transition/Suspense component.
<Transition
fallback=move || {
view! { <h2>"Loading..."</h2> }
}>
{move || {
data
.get()
.map(|track| {
view! { <h2>{track.name}</h2> }
})
}}
</Transition>
</div>
}
}
For a complete working example see the example directory
To use the devtools, you need to add the devtools crate:
cargo add leptos_query_devtools
Then in your cargo.toml
enable the csr
feature.
[features]
hydrate = [
"leptos_query_devtools/csr",
]
[features]
csr = [
"leptos_query_devtools/csr",
]
Then in your app, render the devtools component. Make sure you also provide the query client.
Devtools will by default only show in development mode. It will not be shown, or included in binary, when you build your app in release mode. If you want to override this behaviour, you can enable the force
feature.
use leptos_query_devtools::LeptosQueryDevtools;
use leptos_query::*;
use leptos::*;
#[component]
fn App() -> impl IntoView {
provide_query_client();
view!{
<LeptosQueryDevtools />
// Rest of App...
}
}